Comparison of chest radiograph images between suspected and confirmed cases of COVID-19

doi:10.3969/j.issn.1006-7795.2020.04.018

Abstract

Abstract: Objective To explore the value of chest radiograph images between suspected and confirmed COVID-19. Method The clinical data and chest radiograph of 45 patients with suspected COVID-19 and 9 confirmed COVID-19 in our hospital from January 21 to March 4, 2020 were analyzed. Results There were 32 positive cases in 45 suspected cases. The most frequently involved area was the left lung (18 cases), lower lung field (24 cases), and the middle zone (23 cases). The most common manifestations of lesions are single (21 cases), patchy (29 cases), and blurred shadow (24 cases). Among 9 confirmed cases, 5 cases showed positive chest radiograph. The most frequently involved area was the right lung (4 cases), lower lung field (5 cases), and middle zone (4 cases).The most common manifestations of lesions are single (4 cases), patchy (5 cases), and blurred shadow (4 cases). Except for the difference of lesion distribution side (P<0.05), there were no statistically significant differences in other abnormal chest X-ray findings between the two groups (P>0.05). Conclusion As a routine screening method, it is difficult to distinguish confirmed cases from suspected cases with chest X-ray alone.

Key words: COVID-19, radiography, tomography, X-ray computed

CLC Number:

R563.1

An Yanhong, Rong Dongdong, Shan Yi, Wu Chunxue, Gao Yan, Lu Jie. Comparison of chest radiograph images between suspected and confirmed cases of COVID-19[J]. Journal of Capital Medical University, 2020, 41(4): 608-612.

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URL: https://journal03.magtech.org.cn/Jweb_sdykdxxb/EN/10.3969/j.issn.1006-7795.2020.04.018

https://journal03.magtech.org.cn/Jweb_sdykdxxb/EN/Y2020/V41/I4/608

References 9

[1]	World Health Organization. WHO/Novel Coronavirus-China.(2020-02-06). https://www.who.int/csr/don/12-january-2020-novelcoronavirus-china/en/.
[2]	陈淮, 邹玉坚, 蓝博文, 等. 重型和危重型新型冠状病毒肺炎患者床边胸部X线平片表现及其在随访中的作用[J].中华放射学杂志,2020,54(6):539-543.
[3]	The American College of Radiology. ACR recommendations for the use of chest radiography and computed tomography (CT) for suspected COVID-19 infection. (2020-03-22). https://www.acr.org/Advocacy-and-Economics/ACR-Position-Statements/Recommendations-for-Chest-Radiography-and-CT-for-Suspected-COVID19-Infection.
[4]	Vancheri S G, Savietto G, Ballati F, et al. Radiographic findings in 240 patients with COVID-19 pneumonia:time-dependence after the onset of symptoms[J].Eur Radiol,2020:1-9.
[5]	国家卫生健康委员会.新型冠状病毒肺炎诊疗方案(试行第七版). (2020-03-04).http://www.nhc.gov.cn/yzygj/s7653p/202003/46c9294a7dfe4cef80dc7f5912eb1989.shtml.
[6]	胡瑞, 黄楠, 陈文, 等. 新型冠状病毒肺炎确诊与疑似患者的临床和胸部CT影像比较. 中华放射学杂志,2020,54(5):440-444.
[7]	Huang C, Wang Y, Li X, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China[J]. Lancet,2020,395(10223):497-506.
[8]	吕晗,徐辉,曾娜,等. 新型冠状病毒肺炎(COVID-19)二代病例首诊胸部DR的诊断价值.国际医学放射学杂志.(2020-04-07).https://doi.org/10.19300/j.2020.L18101.
[9]	Das K M, Lee E Y, Al Jawder S E, et al. Acute middle east respiratory syndrome coronavirus:temporal lung changes observed on the chest radiographs of 55 patients[J]. AJR Am J Roentgenol,2015,205(3):W267-W274.

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